Rice phenotype monitoring system and method based on machine vision technology

Abstract

The invention discloses a rice phenotype monitoring system and method based on a machine vision technology. The system comprises a light shield, a material storage device, an image acquisition device and a PC. The light shield covers the material storage device, the material storage device is used for placing a rice sample, the image acquisition device is arranged in the light shield, the image acquisition device is used for acquiring phenotype images of the rice sample, and a light shield cover plate is arranged at the top of the light shield; and the image acquisition device is electrically connected with the PC through a data line. According to the rice phenotype monitoring system and method based on the machine vision technology, comprehensive and objective data acquisition and analysis are carried out on rice phenotype characteristics through the machine vision technology, high-speed and accurate quality grading of rice is facilitated, the quality of rice sources is improved, and cost is greatly saved for enterprises.

Description

technical field [0001] The invention relates to the technical field of agricultural food quality detection, in particular to a rice phenotype monitoring system and method based on machine vision technology. Background technique [0002] For the quality inspection of rice appearance, currently in rice production, the color sorter is mainly used for grading, but the technical algorithm of the color sorter on the market is relatively simple, and the accuracy is not high. Before using the color sorter to screen each batch of rice, it usually requires experienced users to repeatedly debug the equipment. Since the color sorter only screens the color of the rice, it cannot determine the shape, size, and texture of the rice. , Texture and other phenotypic traits are comprehensively judged, and often the ideal optimization results cannot be obtained after repeated screening. In the quality inspection of the national grain depot, the appearance of rice (i.e., the roughness rate) is s...

AI Technical Summary

Problems solved by technology

[0002] For the quality inspection of rice appearance, currently in rice production, the color sorter is mainly used for grading, but the technical algorithm of the color sorter on the market is relatively simple, and the accuracy is not high

Before using the color sorter to screen each batch of rice, it usually requires experienced users to repeatedly debug the equipment. Since the color sorter only screens the color of the rice, it cannot determine the shape, size, and texture of the rice. , Texture and other phenotypic traits are comprehensively judged, and often the ideal optimization results cannot be obtained after repeated screening

In the quality inspection of the national grain depot, the appearance of rice (i.e., the roughness rate) is still evaluated by manual inspection. The unevenness of good and bad and regional differences in judging standards make it impossible to achieve accurate judgment of rice quality testing

Especially for rice processing factories, it is difficult to conduct comprehensive quality inspections on the purchased rice, and often only the rice yield and water content are inspected

[0003] In foreign agricultural giants, the application of imaging technology in food crops and seeds is relatively leading, and has been promoted in quality inspection and production processes. However, the use of spectral imaging and machine vision technology for rice quality inspection is still in the research stage. commercial application

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